web02.fireside.fm Wed, 13 May 2026 04:56:10 -0500 Fireside (https://fireside.fm) Pipeline Conversations - Episodes Tagged with “Computer Vision” https://podcast.zenml.io/tags/computer-vision Thu, 10 Nov 2022 17:00:00 +0100 Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. en-us episodic MLOps and LLMOps, from the trenches ZenML GmbH Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. no machine-learning, machinelearning, mlops, deeplearning, ai, artificialintelligence, artificial-intelligence, technology, tech, mlops, llmops ZenML GmbH podcast@zenml.io ML at the British Library with Daniel van Strien https://podcast.zenml.io/daniel-van-strien-british-library f0ecb9ec-1eeb-4ef3-829d-0afe43ee70e9 Thu, 10 Nov 2022 17:00:00 +0100 ZenML GmbH full 2 ZenML GmbH This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning and I was really happy to have the chance to get to unpack some of the ways he's finding to apply these techniques and tools. 57:28 no <p>This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning and I was really happy to have the chance to get to unpack some of the ways he's finding to apply these techniques and tools.</p> <p>In particular, I found it interesting how important the annotation process is as part of many overall workflows, as well as how simple out-of-the-box techniques like image classification using a fine-tuned model could satisfy many low-hanging fruit-type use cases. Special Guest: Daniel van Strien.</p> machine-learning, data-science, ai, computer-vision, libraries, archives This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning and I was really happy to have the chance to get to unpack some of the ways he's finding to apply these techniques and tools.

In particular, I found it interesting how important the annotation process is as part of many overall workflows, as well as how simple out-of-the-box techniques like image classification using a fine-tuned model could satisfy many low-hanging fruit-type use cases.

Special Guest: Daniel van Strien.

]]> This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning and I was really happy to have the chance to get to unpack some of the ways he's finding to apply these techniques and tools.

In particular, I found it interesting how important the annotation process is as part of many overall workflows, as well as how simple out-of-the-box techniques like image classification using a fine-tuned model could satisfy many low-hanging fruit-type use cases.

Special Guest: Daniel van Strien.

]]> Data-centric Computer Vision with Eric Landau https://podcast.zenml.io/data-centric-computer-vision-eric-landau-encord f7d61b52-02c8-4401-894b-92110dde2267 Thu, 15 Sep 2022 10:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain. 51:51 no <p>This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.</p> <p>We also discuss the much-used term 'data-centric AI' and consider where it's useful and where perhaps there's a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I'm really excited to get to present this episode to you today as I really enjoyed the discussion. Special Guest: Eric Landau.</p> computer-vision, data-centric-ai, machine-learning, annotation, engineering This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.

We also discuss the much-used term 'data-centric AI' and consider where it's useful and where perhaps there's a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I'm really excited to get to present this episode to you today as I really enjoyed the discussion.

Special Guest: Eric Landau.

Links:

]]> This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.

We also discuss the much-used term 'data-centric AI' and consider where it's useful and where perhaps there's a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I'm really excited to get to present this episode to you today as I really enjoyed the discussion.

Special Guest: Eric Landau.

Links:

]]> Safe and Testable Computer Vision with Lakera https://podcast.zenml.io/safe-testable-computer-vision-lakera 6300d5ea-04f5-45a5-8c81-ca184b3d5bd4 Thu, 04 Aug 2022 10:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models. 57:32 no <p>This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of <a href="https://www.lakera.ai/" target="_blank" rel="nofollow noopener">Lakera</a> and Matthias Kraft, also a co-founder and the CPO there. <a href="https://www.lakera.ai/" target="_blank" rel="nofollow noopener">Lakera</a> is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.</p> <p>We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain. Special Guests: Mateo Rojas-Carulla and Matthias Kraft.</p> mlops, monitoring, data, machine-learning, computer-vision, testing, safety This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.

We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain.

Special Guests: Mateo Rojas-Carulla and Matthias Kraft.

]]> This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.

We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain.

Special Guests: Mateo Rojas-Carulla and Matthias Kraft.

]]> Satellite Vision with Robin Cole https://podcast.zenml.io/satellite-vision-robin-cole bc28e259-b867-43c8-96c4-24d355b78903 Thu, 28 Jul 2022 09:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above. 47:56 no <p>This week I spoke with Robin Cole, a senior data scientist at <a href="https://www.satellitevu.com" target="_blank" rel="nofollow noopener">Satellite Vu</a>, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.</p> <p>Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular <a href="https://github.com/robmarkcole/satellite-image-deep-learning" target="_blank" rel="nofollow noopener">satellite-image-deep-learning GitHub repo</a> that presents resources for those working with or seeking to learn about this kind of data. Special Guest: Robin Cole.</p> satellite, computer-vision, deep-learning, serverless, mlops, data-science This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.

Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular satellite-image-deep-learning GitHub repo that presents resources for those working with or seeking to learn about this kind of data.

Special Guest: Robin Cole.

Links:

]]> This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.

Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular satellite-image-deep-learning GitHub repo that presents resources for those working with or seeking to learn about this kind of data.

Special Guest: Robin Cole.

Links:

]]> Autonomous Shipping with Captain AI https://podcast.zenml.io/autonomous-shipping-gerard-kruisheer-captain-ai 6c9b65e9-4f39-430e-8cfb-fd17a76fe8d7 Thu, 21 Jul 2022 10:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week on the podcast I spoke with Gerard Kruisheer, the CTO and co-founder of Captain AI, a company based in the Netherlands working on autonomous shipping out of the busy Rotterdam port. 1:00:22 no <p>This week on the podcast I spoke with Gerard Kruisheer, the CTO and co-founder of <a href="https://www.captainai.com/" target="_blank" rel="nofollow noopener">Captain AI</a>, a company based in the Netherlands working on autonomous shipping out of the busy Rotterdam port.</p> <p>We discussed the unique problems that come with building autonomous vehicles, the extent to which the latest and greatest research informs their work, their production stack and how they handle deployment for their particular setup.</p> <p>As always please let us know if you have guests you'd like me to speak to by sending a message to us on slack or by emailing [<a href="mailto:podcast@zenml.io" target="_blank" rel="nofollow noopener">podcast@zenml.io</a>](<a href="mailto:podcast@zenml.io" target="_blank" rel="nofollow noopener">podcast@zenml.io</a>). Special Guest: Gerard Kruisheer.</p> computer-vision, data-centric-ai, machine-learning, edge-ml, shipping, autonomous, vehicles This week on the podcast I spoke with Gerard Kruisheer, the CTO and co-founder of Captain AI, a company based in the Netherlands working on autonomous shipping out of the busy Rotterdam port.

We discussed the unique problems that come with building autonomous vehicles, the extent to which the latest and greatest research informs their work, their production stack and how they handle deployment for their particular setup.

As always please let us know if you have guests you'd like me to speak to by sending a message to us on slack or by emailing [podcast@zenml.io](podcast@zenml.io).

Special Guest: Gerard Kruisheer.

Links:

]]> This week on the podcast I spoke with Gerard Kruisheer, the CTO and co-founder of Captain AI, a company based in the Netherlands working on autonomous shipping out of the busy Rotterdam port.

We discussed the unique problems that come with building autonomous vehicles, the extent to which the latest and greatest research informs their work, their production stack and how they handle deployment for their particular setup.

As always please let us know if you have guests you'd like me to speak to by sending a message to us on slack or by emailing [podcast@zenml.io](podcast@zenml.io).

Special Guest: Gerard Kruisheer.

Links:

]]> Edge Computer Vision with Karthik Kannan https://podcast.zenml.io/edge-computer-vision-karthik-kannan 2f68e4a6-373b-416d-86be-327ac4f52ab4 Thu, 30 Jun 2022 09:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Karthik Kannan, cofounder and CTO of Envision, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them. 46:53 no <p>This week I spoke with Karthik Kannan, cofounder and CTO of <a href="https://www.letsenvision.com/" target="_blank" rel="nofollow noopener">Envision</a>, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them.</p> <p>Their software and devices are pretty popular and as you'll hear in this conversation, they've been on a real journey to get to where they are now.</p> <p>In particular, I really enjoyed the parts where Karthik explained their development and deployment process in detail. It's not too often that you get a deep dive into the workflows and stacks of an embedded computer vision company and tool and so I think you're going to really enjoy this one. Special Guest: Karthik Kannan.</p> computer-vision, data-centric-ai, machine-learning, google-glass, edge-ml This week I spoke with Karthik Kannan, cofounder and CTO of Envision, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them.

Their software and devices are pretty popular and as you'll hear in this conversation, they've been on a real journey to get to where they are now.

In particular, I really enjoyed the parts where Karthik explained their development and deployment process in detail. It's not too often that you get a deep dive into the workflows and stacks of an embedded computer vision company and tool and so I think you're going to really enjoy this one.

Special Guest: Karthik Kannan.

Links:

]]> This week I spoke with Karthik Kannan, cofounder and CTO of Envision, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them.

Their software and devices are pretty popular and as you'll hear in this conversation, they've been on a real journey to get to where they are now.

In particular, I really enjoyed the parts where Karthik explained their development and deployment process in detail. It's not too often that you get a deep dive into the workflows and stacks of an embedded computer vision company and tool and so I think you're going to really enjoy this one.

Special Guest: Karthik Kannan.

Links:

]]>